Semantic image segmentation using visible and near-infrared channels

@inproceedings{Salamati2012SemanticIS,
  title={Semantic image segmentation using visible and near-infrared channels},
  author={Neda Salamati and Diane Larlus and Gabriela Csurka and Sabine S{\"u}sstrunk},
  booktitle={ECCV Workshops},
  year={2012}
}
Recent progress in computational photography has shown that we can acquire physical information beyond visible (RGB) image representations. In particular, we can acquire near-infrared (NIR) cues with only slight modification to any standard digital camera. In this paper, we study whether this extra channel can improve semantic image segmentation. Based on a state-of-the-art segmentation framework and a novel manually segmented image database that contains 4-channel images (RGB+NIR), we study… CONTINUE READING
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